Title: Understanding the Relationship Between Population, Employment, and Economic Output Across Countries This analysis aims to explore how population and employment levels influence economic output (measured by rgdpo) using the Penn World Data. We will: 1. Wrangle the dataset to extract relevant information. 2. Present summarized tables for key insights. 3. Visualize the relationships using effective plots. 4. Interpret the findings to provide insights into economic trends.

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This R Markdown file analyzes global trends in GDP growth and life expectancy using the Gapminder dataset. It includes data wrangling, summary statistics, and visualizations such as scatter plots and bar charts to explore the relationship between economic growth and life expectancy across continents. The document concludes with key insights and recommendations based on the findings.This R Markdown file analyzes global trends in GDP growth and life expectancy using the Gapminder dataset. It includes data wrangling, summary statistics, and visualizations such as scatter plots and bar charts to explore the relationship between economic growth and life expectancy across continents. The document concludes with key insights and recommendations based on the findings.

This report explores economic inequality using the Gapminder dataset. Key metrics such as the Gini coefficient and percentile analysis highlight disparities in GDP per capita across continents. Visualizations and summary tables provide insights into wealth distribution patterns, emphasizing the stark inequality in Africa and Asia.

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